Researchers introduced RADE-Net, a robust attention network for radar-only object detection that enhances performance in adverse weather by using 3D projections of large RADE tensors, reducing data size and improving training efficiency. This advancement is crucial for content creators focusing on automotive perception systems, as it offers superior accuracy compared to existing models and lidar approaches under poor weather conditions.
Read the full article at arXiv cs.CV (Vision)
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Ali NematiWritten by Ali
